Rongzhe Wei

Orcid: 0009-0008-9047-1303

According to our database¹, Rongzhe Wei authored at least 28 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue.

[BibT_eX]

[DOI]

CoRR, May, 2026

Long-Horizon Plan Execution in Large Tool Spaces through Entropy-Guided Branching.

[BibT_eX]

[DOI]

CoRR, April, 2026

MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2026

GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search.

[BibT_eX]

[DOI]

CoRR, December, 2025

Model Generalization on Text Attribute Graphs: Principles with Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Differentially Private Relational Learning with Entity-level Privacy Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Universal Debiasing for Language Models-based Tabular Data Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Proceedings of the ACM on Web Conference 2024, 2024

Differentially Private Graph Diffusion with Applications in Personalized PageRanks.

[BibT_eX]

[DOI]

Rongzhe Wei

Eli Chien

Pan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SLA<sup>2</sup>P: Self-supervised Anomaly Detection with Adversarial Perturbation.

[BibT_eX]

[DOI]

CoRR, 2021

2020

DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching.

[BibT_eX]

[DOI]

CoRR, 2020

A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Dual Adversarial Networks for Land-Cover Classification.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Rongzhe Wei

Timeline

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Links

On csauthors.net:

Bibliography

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